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Lenses

A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual Connexions member, a community, or a respected organization.

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Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

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  • Rice University ELEC 301 Projects

    This module is included inLens: Rice University ELEC 301 Project Lens
    By: Rice University ELEC 301As a part of collection:"ELEC 301 Projects Fall 2005"

    Click the "Rice University ELEC 301 Projects" link to see all content affiliated with them.

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System Overview

Module by: Yi-Chieh Wu. E-mail the author

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Summary: An overview of our Musical Instrument Recognition System.

Figure 1: System Flowchart.
Pitch and Instrument Recognition System Diagram
Pitch and Instrument Recognition System Diagram (Graphic1)

The system takes some training songs and creates an output vector of features that characterize the signal. A Gaussian mixture model (GMM) is trained to identify patterns and predict an output instrument classification given a set of features.

Each digitized signal was windowed into smaller chunks for feature processing. In training, features were calculated for each window and concatenated into a single vector to be fed into the GMM for training. In testing, features were calculated for each window and fed into the GMM for classification. If multiple notes were to be detected, we recurred on the same window until we found the maximum number of notes or until a note could no longer be detected (as evaluated using a cutoff threshold for what constitutes silence).

From a user standpoint, the user must input a set of training songs, which includes a wav file and the instrument that produced the sound at specific times. Once the system is trained, the user can then input a new song, and our algorithm will output the song in “piano roll” format, i.e. the pitch and instrument of notes plotted over time.

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Rating system

Ratings

Ratings allow you to judge the quality of modules. If other users have ranked the module then its average rating is displayed below. Ratings are calculated on a scale from one star (Poor) to five stars (Excellent).

How to rate a module

Hover over the star that corresponds to the rating you wish to assign. Click on the star to add your rating. Your rating should be based on the quality of the content. You must have an account and be logged in to rate content.

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My Favorites (?)

'My Favorites' is a special kind of lens which you can use to bookmark modules and collections directly in Connexions. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need a Connexions account to use 'My Favorites'.

| A lens (?)

Definition of a lens

Lenses

A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual Connexions member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

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